FunGen xQTL Resources

Welcome #

xqtl-resources #

FunGen-xQTL resources navigation #

This repository contains a collection of resources related to xQTL, Alzheimer’s Disease (AD) loci, fine-mapping, colocalization, TWAS/Mendelian randomization, models, raw data, reference files, and companion analyses. The structure follows folders, subfolders, and file types organized by method and data modality to facilitate downstream analysis and integration.


Repository Content Overview #

Folder / SubfolderFile TypesDescription / NotesContact Person
/ (root)README.mdThis README summarizing repo contents and links to external data on GitHub/NIAGADSGao Wang
/variant_gene_summarySummary of variants, loci, and genes annotated by xQTL
    ├─ /xQTL_loci_summarySummary of xQTL loci
        ├─ /xQTL_finemappingUCSC bed.gzFine-mapping results, structured into contexts and modalities
            ├─ /single_context_finemappingUCSC bed.gzPer-QTL-type directory containing eQTL, pQTL, sQTL, mQTL, haQTL, caQTL etc. BED files of exported top loci
            ├─ /multi_context_finemappingUCSC bed.gzMulti-context fine-mapping results (e.g., MSBB, ROSMAP)
            ├─ /multi_gene_finemappingUCSC bed.gzPer-QTL-type BED files of top loci aggregated across multiple genes
            └─ /trans_finemappingUCSC bed.gzTrans fine-mapping BED files, per QTL type and dataset
        └─ /xQTL_colocalizationUCSC bed.gzColocalization results, structured by multi- and pairwise-context
            ├─ /multi_context_colocalizationUCSC bed.gzMulti-context colocalization results
            └─ /pairwise_colocalizationUCSC bed.gz / TSV / MiscPairwise colocalization results and related files (bulk mQTL haQTL AD etc.)
    ├─ /AD_loci_summarySummary of Alzheimer’s Disease (AD) loci
        ├─ /AD_finemappingUCSC bed.gzAD GWAS/meta-analysis fine-mapping exported top loci BED files
        ├─ /AD_colocalizationUCSC bed.gzAD GWAS/meta-analysis colocalization exported BED files
        ├─ /AD_xQTL_colocalizationUCSC bed.gzIntegrated AD-xQTL colocalization results
        ├─ /AD_gene_levelAD gene-level results, including TWAS and cTWAS results
            ├─ /TWAS_MRUCSC bed.gzTWAS, cTWAS, Mendelian Randomization summary outputs (large combined files)Ru Feng (with input from Chunming Liu)
            └─ /cTWASUCSC bed.gzAD cTWAS results
    ├─ /AD_xQTL_integration_summaryXLSX, TSVSummary tables for AD loci annotated by xQTL analyses (fine-mapping, colocalization, TWAS, MR)
/xQTL_SCEEM_scoresUCSC bed.gzML-based xQTL PIP prediction scores on FTP serverChirag Lakhani
/xQTL_GWAS_modelsPretrained statistical and ML models for data integration
    ├─ /xQTL_modelsxQTL models organized by type
        ├─ /finemapping_modelsRDSFine-mapping models by QTL type (eQTL, pQTL, glycoQTL, sQTL)Ru Feng (main contact)
        ├─ /colocalization_modelsRDSColocalization modelsXuewei Cao
        ├─ /TWAS_modelsRDSTWAS modelsRu Feng et al.
        └─ /qTWAS_modelsRDSQuantile TWAS modelsAnjing Liu
    ├─ /AD_GWAS_modelsRDSAD GWAS fine-mapping and colocalization modelsRuixi Li
      ├─ /AD_colocalizationRDSAD GWAS colocalization modelsRuixi Li
      └─ /AD_finemappingRDSAD GWAS fine-mapping modelsRuixi Li
    ├─ /AD_xQTL_integrationRDSAD xQTL integration models
        ├─ /AD_xQTL_colocalization_modelsRDSAD xQTL colocalization models
        └─ /AD_cTWAS_inputRDSAD cTWAS input dataChunming Liu
/xQTL_data (raw pre-release area)Raw xQTL data prior to NIAGADS harmonization; restricted access
    ├─ /xQTL_LRUCSC bed.gz (tensorQTL)Linear regression model data and residual sumstatsAnjing Liu
        ├─ /R_lm_residual_sumstatsRDSResidual summary statistics for linear modelsAnjing Liu
        └─ /tensorQTL_sumstatsUCSC bed.gzSummary statistics from tensorQTL
    ├─ /xQTL_QRUCSC bed.gz (tensorQTL)Quantile regression model dataAnjing Liu
    ├─ /xQTL_interactionUCSC bed.gz (tensorQTL)Interaction analysis data on HPC and cloudAnjing Liu
    └─ /xQTL_GLMMUCSC bed.gz (ISSAC)Generalized linear mixed model based xQTL callingYuntian Zhang, Boxiang Liu
/reference_filesCompanion analysis supporting files
    ├─ /ADSP_LD_reference_dataADSP LD reference data (on Synapse)Gao Wang
        └─ /EURxz (bim format) with meta dataEuropean population LD reference dataGao Wang
    ├─ /LDSC_reference_dataLDSC reference files including LD scores and annotations
        ├─ /LD_scoresMiscellaneousLD scores data on HPCAnjing Liu
        ├─ /sldsc_annotationsMiscellaneousS-LDSC annotation files on HPCAnjing Liu
        ├─ /GWAS_mungedMiscellaneousMunged GWAS summary statisticsRuixi Li
    ├─ /functional_enrichment_annotationsUCSC bed.gzFunctional enrichment annotation files on HPCAnjing Liu
    └─ /xQTL_protocol_tutorialMiscellaneousToy example and protocol tutorial data compatible with FunGen-xQTL pipelineFrank Grenn

Contacts Summary #

Contact PersonArea of Responsibility
Gao WangGeneral coordination, README, ADSP LD reference data
Ru FengTWAS/MR outputs, fine-mapping, summary stats, TWAS models
Chunming LiuTWAS/MR and cTWAS inputs and model clarifications
Chirag LakhaniML-based prediction scores
Xuewei CaoColocalization models
Anqi WangTWAS models input support
Anjing LiuQuantile TWAS models, raw xQTL data, tensorQTL files, reference data (except GWAS munged)
Ruixi LiAD GWAS fine-mapping models, GWAS munged data
Yuntian ZhangGLMM-based xQTL calling data
Boxiang LiuGLMM-based xQTL calling data
Frank GrennProtocol tutorial and example data

Additional Notes #

  • Some data, especially raw or pre-release files, require approval for access. Please contact the relevant person for access requests.
  • Folder organization mirrors the structure of cloud storage and HPC deployment for ease of usage.
  • For detailed info on datasets and file conventions, please refer to linked READMEs or contact the respective persons.
  • For extended xQTL data descriptions, see: cumc/xqtl-data README